Publication overview

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  • 2020
  • 2019
  • 2018
  • 2017
  • 2016
  • 2015
  • 2014
  • 2013
  • 2012
  • 2011

Ischemic lesion growth in acute stroke: Water uptake quantification distinguishes between edema and tissue infarct
Broocks G, Hanning U, Faizy T, Scheibel A, Nawabi J, Schön G, Forkert N, Langner S, Fiehler J, Gellißen S, Kemmling A
J CEREBR BLOOD F MET. 2020;40(4):823-832.

Skin Lesion Classification Using CNNs with Patch-Based Attention and Diagnosis-Guided Loss Weighting
Gessert N, Sentker T, Madesta F, Schmitz R, Kniep H, Baltruschat I, Werner R, Schlaefer A
IEEE T BIO-MED ENG. 2020;67(2):495-503.

Skin lesion classification using ensembles of multi-resolution EfficientNets with meta data
Gessert N, Werner R, Nielsen M, Shaikh M, Schlaefer A
MethodsX. 2020;7(7):100864.

Individual differences in local functional brain connectivity affect TMS effects on behavior
Gießing C, Alavash M, Herrmann C, Hilgetag C, Thiel C
SCI REP-UK. 2020;10(1):10422.

Reservoir Computing for Jurkat T-cell Segmentation in High Resolution Live Cell Ca2+ Fluorescence Microscopy
Hadäghi F, Diercks B, Wolf I, Werner R
2020. IEEE International Symposium on Biomedical Imaging. 1. ed. IEEE, 1587-1591.

'Hierarchy' in the organization of brain networks
Hilgetag C, Goulas A
PHILOS T R SOC B. 2020;375(1796):20190319.

Unifying the essential concepts of biological networks: biological insights and philosophical foundations
Kostić D, Hilgetag C, Tittgemeyer M
PHILOS T R SOC B. 2020;375(1796):20190314.

Revisiting 'brain modes' in a new computational era: approaches for the characterization of brain-behavioural associations
Toba M, Godefroy O, Rushmore R, Zavaglia M, Maatoug R, Hilgetag C, Valero-Cabré A
BRAIN. 2020;143(4):1088-1098.

Reply: Inhibition between human brain areas or methodological artefact?
Toba M, Malherbe C, Godefroy O, Rushmore R, Zavaglia M, Maatoug R, Mandonnet E, Valero-Cabré A, Hilgetag C
BRAIN. 2020 [Epub ahead of print].

Game theoretical mapping of white matter contributions to visuospatial attention in stroke patients with hemineglect
Toba M, Zavaglia M, Malherbe C, Moreau T, Rastelli F, Kaglik A, Valabrègue R, Pradat-Diehl P, Hilgetag C, Valero-Cabré A
HUM BRAIN MAPP. 2020 [Epub ahead of print].

Perturbation-driven paradoxical facilitation of visuo-spatial function: Revisiting the 'Sprague effect'
Valero-Cabré A, Toba M, Hilgetag C, Rushmore R
CORTEX. 2020;122:10-39.

Combining Direct 3D Volume Rendering and Magnetic Particle Imaging to Advance Radiation-Free Real-Time 3D Guidance of Vascular Interventions
Weller D, Salamon J, Frölich A, Möddel M, Knopp T, Werner R
CARDIOVASC INTER RAD. 2020;43(2):322-330.

Intelligent 4D CT sequence scanning (i4DCT): First scanner prototype implementation and phantom measurements of automated breathing signal-guided 4D CT
Werner R, Sentker T, Madesta F, Schwarz A, Vornehm M, Gauer T, Hofmann C
MED PHYS. 2020 [Epub ahead of print].

Wrestling the Devil of Wasting Time: MPI System Matrix Recovery by Deep Learning
Baltruschat I, Griese F, Szwargulski P, Werner R, Knopp T
2019. 9th International Workschop on Magnetic Particle Imaging (IWMPI 2018) . 1. ed. Infinite Science Publishing, .

Neuron density fundamentally relates to architecture and connectivity of the primate cerebral cortex
Beul S, Hilgetag C
NEUROIMAGE. 2019;189:777-792.

Combining Good Old Random Forest and DeepLabv3+ for ISLES 2018 CT-Based Stroke Segmentation
Böhme L, Madesta F, Sentker T, Werner R
2019. Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. 1. ed. Springer, 335-342.

Altered topology of large-scale structural brain networks in chronic stroke
Cheng B, Schlemm E, Schulz R, Bönstrup M, Messe A, Hilgetag C, Gerloff C, Thomalla G
Brain Commun. 2019;2019(1):1-13.

Topological reinforcement as a principle of modularity emergence in brain networks
Damicelli F, Hilgetag C, Hütt M, Messé A
Netw Neurosci. 2019;3(2):589-605.

Comparison between diffusion MRI tractography and histological tract-tracing of cortico-cortical structural connectivity in the ferret brain
Delettre C, Messé A, Dell L, Foubet O, Heuer K, Larrat B, Meriaux S, Mangin J, Reillo I, de Juan Romero C, Borrell V, Toro R, Hilgetag C
Netw Neurosci. 2019;3(4):1038-1050.

Cortical and thalamic connectivity of occipital visual cortical areas 17, 18, 19 and 21 of the domestic ferret (Mustela putorius furo)
Dell L, Innocenti G, Hilgetag C, Manger P
J COMP NEUROL. 2019;527(8):1293-1314.

Cortical and thalamic connectivity of posterior parietal visual cortical areas PPc and PPr of the domestic ferret (Mustela putorius furo)
Dell L, Innocenti G, Hilgetag C, Manger P
J COMP NEUROL. 2019;527(8):1315-1332.

Cortical and thalamic connectivity of temporal visual cortical areas 20a and 20b of the domestic ferret (Mustela putorius furo)
Dell L, Innocenti G, Hilgetag C, Manger P
J COMP NEUROL. 2019;527(8):1333-1347.

High-Resolution Calcium Imaging Method for Local Calcium Signaling
Diercks B, Werner R, Schetelig D, Wolf I, Guse A
2019. Calcium-Binding Proteins of the EF-Hand Superfamily. 1. ed. Humana Press, 27-39.

Spatiotemporal ontogeny of brain wiring
Goulas A, Betzel R, Hilgetag C
SCI ADV. 2019;5(6):eaav9694.

A blueprint of mammalian cortical connectomes
Goulas A, Majka P, Rosa M, Hilgetag C
PLOS BIOL. 2019;17(3):e2005346.

The architecture of mammalian cortical connectomes in light of the theory of the dual origin of the cerebral cortex
Goulas A, Margulies D, Bezgin G, Hilgetag C
CORTEX. 2019;118:244-261.

MRI-based field of view selection for precise, real-time targeting in MPI
Griese F, Prieske M, Möddel M, Werner R, Knopp T
2019. 9th International Workshop on Magnetic Particle Imaging (IWMPI 2019). 207-208.

Neuromorphic Electronic Systems for Reservoir Computing
Hadäghi F
2019. Reservoir Computing: Theory, Physical Implementations, and Applications. Springer, .

Spiking Reservoir Computing Model for Patient-customized ECG Monitoring
Hadäghi F
2019. Bernstein Conference 2019. .

An architectonic type principle integrates macroscopic cortico-cortical connections with intrinsic cortical circuits of the primate brain
Hilgetag C, Beul S, van Albada S, Goulas A
Netw Neurosci. 2019;3(4):905-923.

Radiomics of Brain MRI: Utility in Prediction of Metastatic Tumor Type
Kniep H, Madesta F, Schneider T, Hanning U, Schönfeld M, Schön G, Fiehler J, Gauer T, Werner R, Gellissen S
RADIOLOGY. 2019;290(2):479-487.

Multimodal Memory Components and Their Long-Term Dynamics Identified in Cortical Layers II/III but Not Layer V
Li D, Wang G, Xie H, Hu Y, Guan J, Hilgetag C
Front Integr Neurosci. 2019;13:54.

Discrimination of the hierarchical structure of cortical layers in 2-photon microscopy data by combined unsupervised and supervised machine learning
Li D, Zavaglia M, Wang G, Xie H, Hu Y, Werner R, Guan J, Hilgetag C
SCI REP-UK. 2019;9(1):7424.

Self-consistent deep learning-based boosting of 4D cone-beam computed tomography reconstruction
Madesta F, Gauer T, Sentker T, Werner R
2019. Medical Imaging 2019: Image Processing. 1. ed. SPIE , 1094902.

Cortical thickness and cognitive performance in asymptomatic unilateral carotid artery stenosis
Nickel A, Kessner S, Niebuhr A, Schröder J, Malherbe C, Fischer F, Heinze M, Cheng B, Fiehler J, Pinnschmidt H, Larena-Avellaneda A, Gerloff C, Thomalla G
BMC CARDIOVASC DISORD. 2019;19(1):154.

Machbarkeitsstudie zur CNN-basierten Identifikation und TICI-Klassifizierung zerebraler ischämischer Infarkte in DSA-Daten
Nielsen M, Waldmann M, Frölich A, Fiehler J, Werner R
2019. Bildverarbeitung für die Medizin 2019. 1. ed. Springer Vieweg, 200-205.

Over the fence: Media-supported collaborative teaching and learning exemplified by diabetes prevention in an occupational setting.
Preisser A, Hampel E, Riemer M, Kraft A, Zyriax B
AMEE MedEdPublish. 2019;8(2):.

Künstliche Intelligenz in der Endoskopie: Neuronale Netze und maschinelles Sehen – Techniken und Perspektiven
Schmitz R, Werner R, Rösch T
Z GASTROENTEROL. 2019;57(6):767-780.

Patient-specific 4D Monte Carlo dose accumulation using correspondence-model-based motion prediction
Sentker T, Madesta F, Werner R
2019. Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling. Fei B, Linte C (eds.). 1. ed. SPIE , 1095109.

Exploring the limits of network topology estimation using diffusion-based tractography and tracer studies in the macaque cortex
Shen K, Goulas A, Grayson D, Eusebio J, Gati J, Menon R, McIntosh A, Everling S
NEUROIMAGE. 2019;191:81-92.

Intelligent 4D CT sequence scanning (i4DCT): Concept and performance evaluation
Werner R, Sentker T, Madesta F, Gauer T, Hofmann C
MED PHYS. 2019;46(8):3462-3474.

Toward employing the full potential of magnetic particle imaging: exploring visualization techniques and clinical use cases for real-time 3D vascular imaging
Werner R, Weller D, Salamon J, Möddel M, Knopp T
2019. Medical Imaging 2019: Biomedical Applications in Molecular, Structural, and Functional Imaging. 1. ed. SPIE , 109531V.

Comprehensive computational modelling of the development of mammalian cortical connectivity underlying an architectonic type principle
Beul S, Goulas A, Hilgetag C
PLOS COMPUT BIOL. 2018;14(11):e1006550.

ORAI1, STIM1/2, and RYR1 shape subsecond Ca2+ microdomains upon T cell activation.
Diercks B, Werner R, Weidemüller P, Czarniak F, Hernandez L, Lehmann C, Rosche A, Krüger A, Kaufmann U, Vaeth M, Failla A, Zobiak B, Kandil F, Schetelig D, Ruthenbeck A, Meier C, Lodygin D, Flügel A, Ren D, Wolf I, Feske S, Guse A
SCI SIGNAL. 2018; 11(561):eaat0358.

Intrinsic Functional Connectivity Resembles Cortical Architecture at Various Levels of Isoflurane Anesthesia
Fischer F, Pieper F, Galindo-Leon E, Engler G, Hilgetag C, Engel A
CEREB CORTEX. 2018;28(8):2991-3003.

Under-reported dosimetry errors due to interplay effects during VMAT dose delivery in extreme hypofractionated stereotactic radiotherapy
Gauer T, Sothmann T, Blanck O, Petersen C, Werner R
STRAHLENTHER ONKOL. 2018;194(6):570-579.

Cortical Gradients and Laminar Projections in Mammals
Goulas A, Zilles K, Hilgetag C
TRENDS NEUROSCI. 2018;41(11):775-788.

Critical Analysis of an e-Learning and Interactive Teaching Module with Respect to the Interpretation of Emergency Computed Tomography of the Brain
Groth M, Barthe K, Riemer M, Ernst M, Herrmann J, Fiehler J, Buhk J
ROFO-FORTSCHR RONTG. 2018;190(4):334-340.

Post-mortem chemical excitability of the iris should not be used for forensic death time diagnosis
Koehler K, Sehner S, Riemer M, Gehl A, Raupach T, Anders S
INT J LEGAL MED. 2018;132(6):1693-1697.

P121 Risikotest zum Typ 2 Diabetes: Evaluation des Prototyps im Rahmen eines betrieblichen Gesundheitstages der Stadtreinigung Hamburg.
Kraft A, Körner W, Riemer M, Zyriax B, Harth V, Preisser A
2018. Dokumentationsband zur 58. Wissenschaftlichen Jahrestagung der DGAUM 2018. Angerer P, Muth T (eds.). 1. ed. 393.

Neural correlates of visuospatial bias in patients with left hemisphere stroke: a causal functional contribution analysis based on game theory
Malherbe C, Umarova R, Zavaglia M, Kaller C, Beume L, Thomalla G, Weiller C, Hilgetag C
NEUROPSYCHOLOGIA. 2018;115:142-153.

Toward a theory of coactivation patterns in excitable neural networks
Messé A, Hütt M, Hilgetag C
PLOS COMPUT BIOL. 2018;14(4):e1006084.

Influence of deformable image registration on 4D dose simulation for extracranial SBRT: A multi-registration framework study
Mogadas N, Sothmann T, Knopp T, Gauer T, Petersen C, Werner R
RADIOTHER ONCOL. 2018;127(2):225-232.

Einfluss nicht-rigider Bildregistrierung auf 4D-Dosissimulation bei extrakranieller SBRT
Mogadas N, Sothmann T, Werner R
2018. Bildverarbeitung für die Medizin. Maier A, Deserno T, Handels H, Maier-Hein K, Palm C, Tolxdorff T (eds.). 1. ed. Springer Vieweg, 188-193.

Self-reference-based and during-registration detection of motion artifacts in spatio-temporal image data
Mücke E, Handels H, Werner R
2018. Medical Imaging 2018: Image Processing. Angelini E, Landman B (eds.). 1. ed. SPIE , 10574-1 - 10574-7.

Structural Properties of Synaptic Transmission and Temporal Dynamics at Excitatory Layer 5B Synapses in the Adult Rat Somatosensory Cortex
Rollenhagen A, Ohana O, Sätzler K, Hilgetag C, Kuhl D, Lübke J
Front Synaptic Neurosci. 2018;10:24.

A new cerebral vessel benchmark dataset (CAPUT) for validation of image-based aneurysm deformation estimation algorithms
Schetelig D, Frölich A, Knopp T, Werner R
SCI REP-UK. 2018;8(1):15999.

Analysis of the influence of imaging-related uncertainties on cerebral aneurysm deformation quantification using a no-deformation physical flow phantom
Schetelig D, Sedlacik J, Fiehler J, Frölich A, Knopp T, Sothmann T, Waschkewitz J, Werner R
SCI REP-UK. 2018;8(1):11004.

Multi-scale account of the network structure of macaque visual cortex
Schmidt M, Bakker R, Hilgetag C, Diesmann M, van Albada S
BRAIN STRUCT FUNCT. 2018;223(3):1409-1435.

Impact of Lesion Load Thresholds on Alberta Stroke Program Early Computed Tomographic Score in Diffusion-Weighted Imaging
Schröder J, Cheng B, Malherbe C, Ebinger M, Köhrmann M, Wu O, Kang D, Liebeskind D, Tourdias T, Singer O, Campbell B, Luby M, Warach S, Fiehler J, Kemmling A, Fiebach J, Gerloff C, Thomalla G
Front Neurol. 2018;9:273.

GDL-FIRE4D: Deep Learning-based fast 4D CT image registration
Sentker T, Madesta F, Werner R
2018. Medical Image Computing and Computer Assisted Intervention – MICCAI 2018. Frangi A, Schnabel J, Davatzikos C, Alberola-López C, Fichtinger G (eds.). 1. ed. Springer, 765 - 773.

Influence of 4D CT motion artifacts on correspondence model-based 4D dose accumulation
Sothmann T, Gauer T, Werner R
2018. Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling. Fei B, Webster R (eds.). 1. ed. SPIE , 105760F-1 - 105760F-7.

Neuropil Distribution in the Anterior Cingulate and Occipital Cortex of Artiodactyls
Spocter M, Fairbanks J, Locey L, Nguyen A, Bitterman K, Dunn R, Sherwood C, Geletta S, Dell L, Patzke N, Manger P
ANAT REC. 2018;301(11):1871-1881.

Functional connectivity of task context representations in prefrontal nodes of the multiple demand network
Stiers P, Goulas A
BRAIN STRUCT FUNCT. 2018;223(5):2455-2473.

Technical considerations for automated low-pitch spiral 4D CT scanning protocol selection
Werner R, Sothmann T, Madesta F, Gauer T, Hofmann C
2018. Medical Imaging 2018: Physics of Medical Imaging. Lo J, Schmidt T, Chen G (eds.). 1. ed. SPIE , 105733Y-1-105733Y-6.

Brain anomaly networks uncover heterogeneous functional reorganization patterns after stroke
Zou Y, Zhao Z, Yin D, Fan M, Small M, Liu Z, Hilgetag C, Kurths J
NEUROIMAGE-CLIN. 2018;20:523-530.

Systematic Analysis of Jurkat T-Cell Deformation in Fluorescence Microscopy Data
Antoni S, Ismail O, Schetelig D, Diercks B, Werner R, Wolf I, Guse A, Schlaefer A
2017. Bildverarbeitung für die Medizin 2017. Maier-Hain K, Deserno T, Handels H, Thomas T (eds.). 1. ed. Springer, 275-280.

A Predictive Structural Model of the Primate Connectome
Beul S, Barbas H, Hilgetag C
SCI REP-UK. 2017;7:43176.

Features of spatial and functional segregation and integration of the primate connectome revealed by trade-off between wiring cost and efficiency
Chen Y, Wang S, Hilgetag C, Zhou C
PLOS COMPUT BIOL. 2017;13(9):e1005776.

Modular topology emerges from plasticity in a minimalistic excitable network model
Damicelli F, Hilgetag C, Hütt M, Messé A
CHAOS. 2017;27(4):047406.

Measurement of Postmortem Pupil Size: A New Method with Excellent Reliability and Its Application to Pupil Changes in the Early Postmortem Period
Fleischer L, Sehner S, Gehl A, Riemer M, Raupach T, Anders S
J FORENSIC SCI. 2017;62(3):791-795.

Topological determinants of self-sustained activity in a simple model of excitable dynamics on graphs
Fretter C, Lesne A, Hilgetag C, Hütt M
SCI REP-UK. 2017;7:42340.

Corticospinal control from M1 and PMv areas on inhibitory cervical propriospinal neurons in humans
Giboin L, Sangari S, Lackmy-Vallée A, Messé A, Pradat-Diehl P, Marchand-Pauvert V
Physiol Rep. 2017;5(20):UNSP e13387.

Submillimeter-Accurate Marker Localization within Low Gradient Magnetic Particle Imaging Tomograms
Griese F, Knopp T, Werner R, Schlaefer A, Möddel M
Int J Magn Part Imag. 2017;3(1):article ID 1703011.

A Systematic Relationship Between Functional Connectivity and Intracortical Myelin in the Human Cerebral Cortex
Huntenburg J, Bazin P, Goulas A, Tardif C, Villringer A, Margulies D
CEREB CORTEX. 2017;27(2):981-997.

Female vs. Male Ampelmännchen-Gender-Specific Reaction Times to Male and Female Traffic Light Figures
Kandil F, Olk B, Hilgetag C
FRONT PSYCHOL. 2017;8:690.

Correction: Cerebral Hemodynamics in Patients with Hemolytic Uremic Syndrome Assessed by Susceptibility Weighted Imaging and Four-Dimensional Non-Contrast MR Angiography
Löbel U, Forkert N, Schmitt C, Dohrmann T, Schroeder M, Magnus T, Kluge S, Weiler-Normann C, Bi X, Fiehler J, Sedlacik J
PLOS ONE. 2017;12(2):e0172450.

The challenge of mapping the human connectome based on diffusion tractography
Maier-Hein K, Neher P, Houde J, Côté M, Garyfallidis E, Zhong J, Chamberland M, Yeh F, Lin Y, Ji Q, Reddick W, Glass J, Chen D, Feng Y, Gao C, Wu Y, Ma J, Renjie H, Li Q, Westin C, Deslauriers-Gauthier S, González J, Paquette M, St-Jean S, Girard G, Rheault F, Sidhu J, Tax C, Guo F, Mesri H, Dávid S, Froeling M, Heemskerk A, Leemans A, Boré A, Pinsard B, Bedetti C, Desrosiers M, Brambati S, Doyon J, Sarica A, Vasta R, Cerasa A, Quattrone A, Yeatman J, Khan A, Hodges W, Alexander S, Romascano D, Barakovic M, Auría A, Esteban O, Lemkaddem A, Thiran J, Cetingul H, Odry B, Mailhe B, Nadar M, Pizzagalli F, Prasad G, Villalon-Reina J, Galvis J, Thompson P, Requejo F, Laguna P, Lacerda L, Barrett R, Dell'Acqua F, Catani M, Petit L, Caruyer E, Daducci A, Dyrby T, Holland-Letz T, Hilgetag C, Stieltjes B, Descoteaux M
NAT COMMUN. 2017;8(1):1349.

e-Projekt Diabetes-Prävention
Preisser A, Zyriax B, Kraft A, Velasco Garrido M, Riemer M
2017. HOOU Content Projekte - Vorprojektphase 2015/16 der Hamburg Open Online University . 1. ed. Hamburg: Prof. Dr. Kerstin Mayrberger, 206-9.

Human orbital and anterior medial prefrontal cortex: Intrinsic connectivity parcellation and functional organization
Samara Z, Evers E, Goulas A, Uylings H, Rajkowska G, Ramaekers J, Stiers P
BRAIN STRUCT FUNCT. 2017;222(7):2941-2960.

Defining Restrictions and Limits of Registration-Based Quantification of Geometric Deformation in Cerebral Blood Vessels
Schetelig D, Sedlacik J, Schmidt F, Fiehler J, Werner R
2017. Bildverarbeitung für die Medizin 2017. Maier-Hain K, Deserno T, Handels H, Tolxdorff T (eds.). 1. ed. Springer, 191-196.

Altered topology of structural brain networks in patients with Gilles de la Tourette syndrome
Schlemm E, Cheng B, Fischer F, Hilgetag C, Gerloff C, Thomalla G
SCI REP-UK. 2017;7(1):10606.

4D dose simulation in volumetric arc therapy: Accuracy and affecting parameters
Sothmann T, Gauer T, Werner R
PLOS ONE. 2017;12(2):e0172810.

Correspondence model-based 4D VMAT dose simulation for analysis of local metastasis recurrence after extracranial SBRT
Sothmann T, Gauer T, Wilms M, Werner R
PHYS MED BIOL. 2017;62(23):9001-9017.

Reduced rich-club connectivity is related to disability in primary progressive MS
Stellmann J, Hodecker S, Cheng B, Wanke N, Young K, Hilgetag C, Gerloff C, Heesen C, Thomalla G, Siemonsen S
Neurol Neuroimmunol Neuroinflamm. 2017;4(5):e375.

Game theoretical mapping of causal interactions underlying visuo-spatial attention in the human brain based on stroke lesions
Toba M, Zavaglia M, Rastelli F, Valabrégue R, Pradat-Diehl P, Valero-Cabré A, Hilgetag C
HUM BRAIN MAPP. 2017 [Epub ahead of print].

Reduction of breathing irregularity-related motion artifacts in low-pitch spiral 4D CT by optimized projection binning
Werner R, Hofmann C, Mücke E, Gauer T
RADIAT ONCOL. 2017;12(1):article ID 100.

Low Rank and Sparse Matrix Decomposition as Stroke Segmentation Prior: Useful or Not? A Random Forest-Based Evaluation Study
Werner R, Schetelig D, Sothmann T, Mücke E, Wilms M, Cheng B, Forkert N
2017. Bildverarbeitung für die Medizin 2017. Maier-Hein K, Deserno T, Handels H, Tolxdorff T (eds.). 1. ed. Springer, 161-166.

Subpopulation-based correspondence modelling for improved respiratory motion estimation in the presence of inter-fraction motion variations
Wilms M, Werner R, Yamamoto T, Handels H, Ehrhardt J
PHYS MED BIOL. 2017;62(14):5823-5839.

Prior knowledge of spatiotemporal configuration facilitates crossmodal saccadic response: A TWIN analysis
Diederich A, Colonius H, Kandil F
EXP BRAIN RES. 2016;234(7):2059-76.

Modeling of Large-Scale Functional Brain Networks Based on Structural Connectivity from DTI: Comparison with EEG Derived Phase Coupling Networks and Evaluation of Alternative Methods along the Modeling Path
Finger H, Bönstrup M, Cheng B, Messé A, Hilgetag C, Thomalla G, Gerloff C, König P
PLOS COMPUT BIOL. 2016;12(8):e1005025.

Longitudinal changes in functional connectivity of cortico-basal ganglia networks in manifests and premanifest huntington's disease
Gargouri F, Messé A, Perlbarg V, Valabregue R, McColgan P, Yahia-Cherif L, Fernandez-Vidal S, Ben Hamida A, Benali H, Tabrizi S, Durr A, Lehéricy S
HUM BRAIN MAPP. 2016;37(11):4112-4128.

Principles of ipsilateral and contralateral cortico-cortical connectivity in the mouse
Goulas A, Uylings H, Hilgetag C
BRAIN STRUCT FUNCT. 2016;222(3):1281-1295.

Connectivity and cortical architecture
Hilgetag C, Amunts K
e-Neuroforum. 2016;7(3):56-63.

Konnektivität und kortikale Architektur
Hilgetag C, Amunts K
NEUROFORUM. 2016;22(3):83-90.

Is the brain really a small-world network?
Hilgetag C, Goulas A
BRAIN STRUCT FUNCT. 2016;221(4):2361-6.

The primate connectome in context: Principles of connections of the cortical visual system
Hilgetag C, Medalla M, Beul S, Barbas H
NEUROIMAGE. 2016;134:685-702.

Rekonstruktive Untersuchungen und Identifikationsmaßnahmen bei unbekannten Soldaten aus dem Zweiten Weltkrieg
Jopp-van Well E, Gehl A, Säring D, Amling M, Hahn M, Sperhake J, Augustin C, Krebs O, Püschel K
Arch Kriminol. 2016;237(5 und 6):153-171.

Required transition from research to clinical application: Report on the 4D treatment planning workshops 2014 and 2015
Knopf A, Stützer K, Richter C, Rucinski A, da Silva J, Phillips J, Engelsman M, Shimizu S, Werner R, Jakobi A, Göksel O, Zhang Y, Oshea T, Fast M, Perrin R, Bert C, Rinaldi I, Korevaar E, McClelland J
PHYS MEDICA. 2016;32(7):874-882.

Regional Lung Ventilation Analysis Using Temporally Resolved Magnetic Resonance Imaging
Kolb C, Wetscherek A, Buzan M, Werner R, Rank C, Kachelrie M, Kreuter M, Dinkel J, Heuel C, Maier-Hein K
J COMPUT ASSIST TOMO. 2016;40(6):899-906.

Cognitive Decline and Reorganization of Functional Connectivity in Healthy Aging: The Pivotal Role of the Salience Network in the Prediction of Age and Cognitive Performances
La Corte V, Sperduti M, Malherbe C, Vialatte F, Lion S, Gallarda T, Oppenheim C, Piolino P

Situating the default-mode network along a principal gradient of macroscale cortical organization
Margulies D, Ghosh S, Goulas A, Falkiewicz M, Huntenburg J, Langs G, Bezgin G, Eickhoff S, Castellanos F, Petrides M, Jefferies E, Smallwood J
P NATL ACAD SCI USA. 2016;113(44):12574-12579.

Functional Connectivity's Degenerate View of Brain Computation
Marrelec G, Messé A, Giron A, Rudrauf D
PLOS COMPUT BIOL. 2016;12(10):e1005031.

Serum Matrix Metalloproteinases as Quantitative Biomarkers for Myocardial Fibrosis and Sudden Cardiac Death Risk Stratification in Patients With Hypertrophic Cardiomyopathy
Münch J, Avanesov M, Bannas P, Säring D, Krämer E, Mearini G, Carrier L, Suling A, Lund G, Patten-Hamel M
J CARD FAIL. 2016;22(10):845-50.

Selective perturbation of cognitive conflict in the human brain-A combined fMRI and rTMS study
Peschke C, Köster R, Korsch M, Frühholz S, Thiel C, Herrmann M, Hilgetag C
SCI REP-UK. 2016;6:38700.

Phantom-based ground-truth generation for cerebral vessel segmentation and pulsatile deformation analysis
Schetelig D, Säring D, Illies T, Sedlacik J, Kording F, Werner R
2016. Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling. Webster, III R, Yaniv Z (eds.). 1. ed. SPIE , 978622-1-6.

Real time tracking in liver SBRT: comparison of CyberKnife and Vero by planning structure-based γ-evaluation and dose-area-histograms
Sothmann T, Blanck O, Poels K, Werner R, Gauer T
PHYS MED BIOL. 2016;61(4):1677-91.

Reverse inference of memory retrieval processes underlying metacognitive monitoring of learning using multivariate pattern analysis
Stiers P, Falbo L, Goulas A, van Gog T, de Bruin A
NEUROIMAGE. 2016;132:11-23.

Building the Ferretome
Sukhinin D, Engel A, Manger P, Hilgetag C
Front Neuroinform. 2016;10:16.

Reproducibility of native and contrast-enhanced CMR techniques to measure lesion size following acute myocardial infarction
Tahir E, Sinn M, Avanesov M, Wien J, Säring D, Radunski U, Muellerleile K, Adam G, Lund G
2016. Insights Imaging (2016) 7 (Suppl 1):S162–S465. .

Reproduzierbarkeit der Größenbestimmung von Läsionen nach akutem Myokardinfarkt mittels nativen und kontrastmittelgestützten Kardio-MRT
Tahir E, Sinn M, Avanesov M, Wien J, Säring D, Stehning C, Radunski U, Muellerleile K, Adam G, Lund G
2016. Fortschr Röntgenstr 2016. .

Geometrieplanung und Bildregistrierung mittels bimodaler Fiducial-Marker für Magnetic Particle Imaging
Werner F, Jung C, Hofmann M, Salamon J, Werner R, Säring D, Kaul M, Them K, Weber O, Mummert T, Adam G, Ittrich H, Knopp T
2016. Bildverarbeitung für die Medizin 2016. Tolxdorff T, Deserno T, Handels H, Meinzer H (eds.). 1. ed. Springer, 128-133.

Geometry planning and image registration in magnetic particle imaging using bimodal fiducial markers
Werner F, Jung C, Hofmann M, Werner R, Salamon J, Säring D, Kaul M, Them K, Weber O, Mummert T, Adam G, Ittrich H, Knopp T
MED PHYS. 2016;43(6):2884-2893.

Optimized projection binning for improved helical amplitude- and phase-based 4DCT reconstruction in the presence of breathing irregularity
Werner R, Hofmann C, Gauer T
2016. Medical Imaging 2016: Physics of Medical Imaging. Kontos D, Flohr T, Lo J (eds.). 1. ed. SPIE , 978313-1-6.

Beyond cost function masking: RPCA-based non-linear registration in the context of VLSM
Werner R, Wilms M, Cheng B, Forkert N
2016. International Workshop on Pattern Recognition in Neuroimaging, PRNI 2016, Trento, Italy, June 22-24, 2016. 1. ed. 1-4.

Technical considerations of a game-theoretical approach for lesion symptom mapping
Zavaglia M, Forkert N, Cheng B, Gerloff C, Thomalla G, Hilgetag C
BMC NEUROSCI. 2016;17(1):40.

Causal functional contributions and interactions in the attention network of the brain: an objective multi-perturbation analysis
Zavaglia M, Hilgetag C
BRAIN STRUCT FUNCT. 2016;221(5):2553-68.

Persistency and flexibility of complex brain networks underlie dual-task interference
Alavash M, Hilgetag C, Thiel C, Gießing C
HUM BRAIN MAPP. 2015;36(9):3542-62.

Brain activation during associative short-term memory maintenance is not predictive for subsequent retrieval
Bergmann H, Daselaar S, Beul S, Rijpkema M, Fernández G, Kessels R

A predictive model of the cat cortical connectome based on cytoarchitecture and distance
Beul S, Grant S, Hilgetag C
BRAIN STRUCT FUNCT. 2015;220(6):3167-3184.

Towards a "canonical" agranular cortical microcircuit
Beul S, Hilgetag C
FRONT NEUROANAT. 2015;8:165.

Comparison of 3D and 4D Monte Carlo optimization in robotic tracking stereotactic body radiotherapy of lung cancer
Chan M, Werner R, Ayadi M, Blanck O
STRAHLENTHER ONKOL. 2015;191(2):161-71.

Orexinergic bouton density is lower in the cerebral cortex of cetaceans compared to artiodactyls
Dell L, Spocter M, Patzke N, Karlson K, Alagaili A, Bennett N, Muhammed O, Bertelsen M, Siegel J, Manger P
J CHEM NEUROANAT. 2015;68:61-76.

The effect of 10 Hz repetitive transcranial magnetic stimulation of posterior parietal cortex on visual attention
Dombrowe I, Juravle G, Alavash M, Gießing C, Hilgetag C
PLOS ONE. 2015;10(5):Art. UNSP e0126802.

Variational Registration: A Flexible Open-Source ITK Toolbox for Nonrigid Image Registration
Ehrhardt J, Schmidt-Richberg A, Werner R, Handels H
2015. Bildverarbeitung für die Medizin 2015. Handels H, Deserno T, Meinzer H, Tolxdorff T (eds.). 1. ed. Berlin Heidelberg: Springer, 209-214.

Multiclass Support Vector Machine-Based Lesion Mapping Predicts Functional Outcome in Ischemic Stroke Patients
Forkert N, Verleger T, Cheng B, Thomalla G, Hilgetag C, Fiehler J
PLOS ONE. 2015;10(6):Art. e0129569.

Ipsilesional motor area size correlates with functional recovery after stroke: a 6-month follow-up longitudinal TMS motor mapping study
Freundlieb N, Philipp S, Drabik A, Gerloff C, Forkert N, Hummel F
RESTOR NEUROL NEUROS. 2015;33(2):221-31.

The strength of weak connections in the macaque cortico-cortical network
Goulas A, Schaefer A, Margulies D
BRAIN STRUCT FUNCT. 2015;220(5):2939-51.

Design, performance characteristics and application examples of a new 4D motion platform
Grohmann C, Frenzel T, Werner R, Cremers F
Z MED PHYS. 2015;25(2):156-167.

Connectivity analysis in healthy and pathological brains
Hilgetag C
2015. Encyclopedia of Computational Neuroscience. 1. ed. Springer, 790-793.

Flugzeugabstürze - Späte Bergung von Piloten aus dem Zweiten Weltkrieg in Norddeutschland
Jopp-van Well E, Gehl A, Säring D, Amling M, Hahn M, Kettner A, Bauerochse A, Haßmann H, Sperhake J, Püschel K
Berichte zur Denkmalpflege in Niedersachsen. 2015;4:188-195.

Wiring Principles, Optimization
Kaiser M, Hilgetag C
2015. Encyclopedia of Computational Neuroscience. Jaeger D, Ranu J (eds.). 1. ed. New York: Springer, 3172-3177.

A Bayesian Alternative to Mutual Information for the Hierarchical Clustering of Dependent Random Variables
Marrelec G, Messé A, Bellec P
PLOS ONE. 2015;10(9):e0137278.

Relating structural and functional connectivity in MRI: a simple model for a complex brain
Messé A, Benali H, Marrelec G
IEEE T MED IMAGING. 2015;34(1):27-37.

A closer look at the apparent correlation of structural and functional connectivity in excitable neural networks
Messé A, Hütt M, König P, Hilgetag C
SCI REP-UK. 2015;5:Art. 7870.

Predicting functional connectivity from structural connectivity via computational models using MRI: an extensive comparison study
Messé A, Rudrauf D, Giron A, Marrelec G
NEUROIMAGE. 2015;111:65-75.

Predicting functional connectivity from structural connectivity via computational models using MRI: An extensive comparison study
Messé A, Rudrauf D, Giron A, Marrelec G
NEUROIMAGE. 2015;111:65-75.

Attention and control of manual responses in cognitive conflict: Findings from TMS perturbation studies
Olk B, Peschke C, Hilgetag C

Respiratory surface motion measurement by Microsoft Kinect: implementation and evaluation of a clinical setup
Ortmüller J, Gauer T, Wilms M, Handels H, Werner R
Current Directions in Biomedical Engineering. 2015;1(1):270-273.

A Modular Framework for Post-Processing and Analysis of Fluorescence Microscopy Image Sequences of Subcellular Calcium Dynamics
Schetelig D, Wolf I, Diercks B, Fliegert R, Guse A, Schlaefer A, Werner R
2015. Bildverarbeitung für die Medizin 2015. Handels H, Deserno T, Meinzer H, Tolxdorff T (eds.). 1. ed. Berlin Heidelberg: Springer, 401-406.

Development of cardiac remodeling in patients with acute myocardial infarction studied by cardiac MRI (CMR)
Sinn M, Tahir E, Radunski U, Säring D, Avanesov M, Müllerleile K, Adam G, Lund G
2015. Journal of Cardiovascular Magnetic Resonance. .

Ability of extracellular volume imaging to serially measure infarct size compared to LGE within six months after acute myocardial infarction
Sinn M, Tahir E, Radunski U, Säring D, Müllerleile K, Stehning C, Adam G, Lund G
2015. Journal of Cardiovascular Magnetic Resonance . .

Groupwise Registration for Robust Motion Field Estimation in Artifact-Affected 4D CT Images
Tack A, Kobayashi Y, Gauer T, Schlaefer A, Werner R
2015. MICCAI Workshop on Imaging and Computer Assistance in Radiation Therapy Workshop (ICART). 1. ed. 18-25.

“Soccer player’s heart": assessment of left ventricular adaptation by cardiac magnetic resonance imaging.
Tahir E, Regier M, Sinn M, Säring D, Radunski U, Adam G, Lund G
2015. Journal of Cardiovascular Magnetic Resonance. .

Serial native T1- and T2-mapping to quantitatively monitor resorption of myocardial edema following acute myocardial infarction
Tahir E, Sinn M, Avanesov M, Radunski U, Säring D, Müllerleile K, Stehning C, Adam G, Lund G
2015. Insights Imaging. .

Serial native T1- and T2-mapping to quantitatively monitor resorption of myocardial edema following acute myocardial infarction.
Tahir E, Sinn M, Avanesov M, Radunski U, Säring D, Stehning C, Müllerleile K, Schnackenburg B, Adam G, Lund G
2015. Journal of Cardiovascular Magnetic Resonance 2015. .

Quantitatives serielles Monitoring der Ödemresorption nach akutem Myokardinfarkt mittels nativen T1- und T2-Mapping-Techniken
Tahir E, Sinn M, Säring D, Avanesov M, Radunski U, Müllerleile K, Adam G, Lund G
2015. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. .

Sensitivity of tumor motion simulation accuracy to lung biomechanical modeling approaches and parameters
Tehrani J, Yang Y, Werner R, Lu W, Low D, Guo X, Wang J
PHYS MED BIOL. 2015;60(22):8833-8849.

Bridging Cytoarchitectonics and Connectomics in Human Cerebral Cortex
van den Heuvel M, Scholtens L, Feldman Barrett L, Hilgetag C, de Reus M
J NEUROSCI. 2015;35(41):13943-8.

Reference geometry-based detection of (4D-)CT motion artifacts: a feasibility study
Werner R, Gauer T
2015. Medical Imaging 2015. Ourselin S, Styner M (eds.). 1. ed. SPIE , 0S1-7.

Population-based Correspondence Models for Respiratory Motion Estimation in the Presence of Interfraction Motion Variations
Wilms M, Werner R, Yamamoto T, Handels H, Ehrhardt J
2015. MICCAI workshop on Imaging and Computer Assistance in Radiation Therapy Workshop (ICART). 1. ed. 81-88.

Frontrunners of T cell activation: Initial, localized Ca2+ signals mediated by NAADP and the type 1 ryanodine receptor
Wolf I, Diercks B, Gattkowski E, Czarniak F, Kempski J, Werner R, Schetelig D, Mittrücker H, Schumacher V, von Osten M, Lodygin D, Flügel A, Fliegert R, Guse A
SCI SIGNAL. 2015;8(398):Art. ra102.

Mapping causal functional contributions derived from the clinical assessment of brain damage after stroke
Zavaglia M, Forkert N, Cheng B, Gerloff C, Thomalla G, Hilgetag C
NEUROIMAGE-CLIN. 2015;9:83-94.

Influence of Stroke Infarct Location on Functional Outcome Measured by the Modified Rankin Scale
Cheng B, Forkert N, Zavaglia M, Hilgetag C, Golsari A, Siemonsen S, Fiehler J, Pedraza S, Puig J, Cho T, Alawneh J, Baron J, Ostergaard L, Gerloff C, Thomalla G
STROKE. 2014;45(6):1695-+.

Occipitoparietal alpha-band responses to the graded allocation of top-down spatial attention
Dombrowe I, Hilgetag C
J NEUROPHYSIOL. 2014;112(6):1307-16.

Role of long cycles in excitable dynamics on graphs
Garcia G, Lesne A, Hilgetag C, Hütt M
Phys Rev E Stat Nonlin Soft Matter Phys. 2014;90(5-1):052805.

High Accuracy Optical Flow for 3D Medical Image Registration Using the Census Cost Function
Hermann S, Werner R
2014. Image and Video Technology. Klette R, Rivera M, Satoh S (eds.). 1. ed. Berlin Heidelberg: Springer, 23-35.

TV-L1-based 3D Medical Image Registration with the Census Cost Function
Hermann S, Werner R
2014. Image and Video Technology. Klette R, Rivera M, Satoh S (eds.). 1. ed. Berlin, Heidelberg: Springer, 149-161.

Hierarchical modular brain connectivity is a stretch for criticality
Hilgetag C, Hütt M
TRENDS COGN SCI. 2014;18(3):114-5.

Brain network science needs to become predictive. Comment on "Understanding brain networks and brain organization" by Luiz Pessoa
Hilgetag C, von Luxburg U
PHYS LIFE REV. 2014;11(3):446-7.

Network-guided pattern formation of neural dynamics
Hütt M, Kaiser M, Hilgetag C
PHILOS T R SOC B. 2014;369(1653):20130522.

Cerebral aneurysm pulsation: do iterative reconstruction methods improve measurement accuracy in vivo?
Illies T, Säring D, Kinoshita M, Fujinaka T, Bester M, Fiehler J, Tomiyama N, Watanabe Y
AM J NEURORADIOL. 2014;35(11):2159-63.

Virtual patients: the influence of case design and teamwork on students' perception and knowledge - a pilot study
Jäger F, Riemer M, Abendroth M, Sehner S, Harendza S
BMC MED EDUC. 2014;14:137.

Impact of Severe Extracranial ICA Stenosis on MRI Perfusion and Diffusion Parameters in Acute Ischemic Stroke
Kaesemann P, Thomalla G, Cheng B, Treszl A, Fiehler J, Forkert N
Front Neurol. 2014;5:254.

Simulation of spatiotemporal CT data sets using a 4D MRI-based lung motion model
Marx M, Ehrhardt J, Werner R, Schlemmer H, Handels H
INT J COMPUT ASS RAD. 2014;9(3):401-9.

Kombination von Atemsignalen zur Optimierung der Prädiktion komplexer atmungsbedingter Organ- und Tumorbewegungen
Ortmüller J, Wilms M, Werner R, Handels H
2014. Bildverarbeitung für die Medizin 2014. Deserno T, Handels H, Meinzer H, Tolxdorff T (eds.). 1. ed. Berlin Heidelberg: Springer, 72-77.

Lung registration using automatically detected landmarks
Polzin T, Rühaak J, Werner R, Handels H, Modersitzki J
METHOD INFORM MED. 2014;53(4):250-6.

Cortico-cortical communication dynamics
Roland P, Hilgetag C, Deco G
Front Syst Neurosci. 2014;8:19.

Klassifikation des Verschlussgrades der Epiphyse der proximalen Tibia zur Altersbestimmung.
Säring D, Mauer M, Jopp E
2014. Bildverarbeitung für die Medizin 2014, Algorithmen - Systeme - Anwendungen. Springer, 60-65.

A Flexible Variational Registration Framework
Schmidt-Richberg A, Werner R, Handels H, Ehrhardt J
Insight Journal. 2014.

Spatial distribution of perfusion abnormality in acute MCA occlusion is associated with likelihood of later recanalization
Siemonsen S, Forkert N, Hansen A, Kemmling A, Thomalla G, Fiehler J
J CEREBR BLOOD F MET. 2014;34(5):813-819.

Aligning 3D time-of-flight MRA datasets for quantitative longitudinal studies: evaluation of rigid registration techniques
Verleger T, Schönfeld M, Säring D, Siemonsen S, Fiehler J, Forkert N
MAGN RESON IMAGING. 2014;32(10):1390-5.

Estimation of lung motion fields in 4D CT data by variational non-linear intensity-based registration:A comparison and evaluation study
Werner R, Schmidt-Richberg A, Handels H, Ehrhardt J
PHYS MED BIOL. 2014;59(15):4247-60.

Statistical Analysis of Surrogate Signals to Incorporate Respiratory Motion Variability into Radiotherapy Treatment Planning
Wilms M, Ehrhardt J, Werner R, Marx M, Handels H
2014. Medical Imaging 2014. Yaniv Z, Holmes D (eds.). 1. ed. SPIE , 0J1-8.

Simulation of range imaging-based estimation of respiratory lung motion. Influence of noise, signal dimensionality and sampling patterns
Wilms M, Werner R, Blendowski M, Ortmüller J, Handels H
METHOD INFORM MED. 2014;53(4):257-63.

Multivariate regression approaches for surrogate-based diffeomorphic estimation of respiratory motion in radiation therapy
Wilms M, Werner R, Ehrhardt J, Schmidt-Richberg A, Schlemmer H, Handels H
PHYS MED BIOL. 2014;59(5):1147-64.

Clinical decision making: a pilot e-learning study
Abendroth M, Harendza S, Riemer M
Clinical Teacher. 2013;10(1):51-5.

Quantitative t2 measurements in juvenile and late infantile neuronal ceroid lipofuscinosis.
Bravo A, Forkert N, Schulz A, Löbel U, Fiehler J, Ding X, Sedlacik J, Rosenkranz M, Goebell E
CLIN NEURORADIOL. 2013;23(3):189-196.

The extent of perfusion deficit does not relate to the visibility of acute ischemic lesions on fluid-attenuated inversion recovery imaging.
Cheng B, Rosenkranz M, Krützelmann A, Fiehler J, Forkert N, Gerloff C, Thomalla G
J NEUROIMAGING. 2013;23(2):215-218.

Trade-off between multiple constraints enables simultaneous formation of modules and hubs in neural systems
Chen Y, Wang S, Hilgetag C, Zhou C
PLOS COMPUT BIOL. 2013;9(3):e1002937.

Intrinsic coupling modes: multiscale interactions in ongoing brain activity
Engel A, Gerloff C, Hilgetag C, Nolte G
NEURON. 2013;80(4):867-86.

Intranidal Signal Distribution in Post-Contrast Time-of-Flight MRA is Associated with Rupture Risk Factors in Arteriovenous Malformations.
Forkert N, Fiehler J, Schönfeld M, Sedlacik J, Regelsberger J, Handels H, Illies T
CLIN NEURORADIOL. 2013;23(2):97-101.

A statistical cerebroarterial atlas derived from 700 MRA datasets
Forkert N, Fiehler J, Suniaga S, Wersching H, Knecht S, Kemmling A
METHOD INFORM MED. 2013;52(6):467-74.

Computer-aided nidus segmentation and angiographic characterization of arteriovenous malformations
Forkert N, Illies T, Goebell E, Fiehler J, Säring D, Handels H
INT J COMPUT ASS RAD. 2013;8(5):775-86.

Comparison of 10 TTP and Tmax estimation techniques for MR perfusion-diffusion mismatch quantification in acute stroke
Forkert N, Kaesemann P, Treszl A, Siemonsen S, Cheng B, Handels H, Fiehler J, Thomalla G
AM J NEURORADIOL. 2013;34(9):1697-703.

3D cerebrovascular segmentation combining fuzzy vessel enhancement and level-sets with anisotropic energy weights
Forkert N, Schmidt-Richberg A, Fiehler J, Illies T, Möller D, Säring D, Handels H, Ehrhardt J
MAGN RESON IMAGING. 2013;31(2):262-71.

Automated volumes-of-interest identification for classical and atypical Parkinsonian syndrome differentiation using T2' MR imaging
Forkert N, Schmidt-Richberg A, Treszl A, Hilgetag C, Fiehler J, Münchau A, Handels H, Boelmans K
METHOD INFORM MED. 2013;52(2):128-36.

Impact of protein content on proton diffusibility in intracranial cysts.
Goebell E, Fiehler J, Martens T, Hagel C, Forkert N, Russjan A, Rosenkranz M, Buhk J, Groth M, Sedlacik J
ROFO-FORTSCHR RONTG. 2013;185(1):60-65.

Comparison of 3D computer-aided with manual cerebral aneurysm measurements in different imaging modalities
Groth M, Forkert N, Buhk J, Schoenfeld M, Goebell E, Fiehler J
NEURORADIOLOGY. 2013;55(2):171-8.

Model complexity in the study of neuronal network phenomena
Hilgetag C, Hütt M, Zhou C
2013. Advances in Cognitive Neurodynamics (III). Omori T, Yamaguchi Y, Sakaguchi Y, Sato N, Tsuda I (eds.). 1. ed. Springer, 77-81.

Classification of cerebral arteriovenous malformations and intranidal flow patterns by color-encoded 4D-hybrid-MRA.
Illies T, Forkert N, Ries T, Regelsberger J, Fiehler J
AM J NEURORADIOL. 2013;34(1):46-53.

Virtuelle Rekonstruktion von Knochenbrüchen nach Zerstückelung
Jopp E, auf der Mauer M, Püschel K, Säring D
RECHTSMEDIZIN. 2013;23:48-52.

Validation and Comparison of Approaches to Respiratory Motion Estimation
Kabus S, Klinder T, Murphy K, Werner R, Sarrut D
2013. 4D Modeling and Estimation of Respiratory Motion for Radiation Therapy. Ehrhardt J, Lorenz C (eds.). 1. ed. Springer, 159-183.

Evaluation of a new semi-automatic strategy for quantitative measurement of infarct size in patients with acute and chronic myocardial infarction using cardiac magnetic resonance imaging
Lund G, Säring D, Müllerleile K, Cuerlis J, Barz D, Bannas P, Radunski U, Sydow K, Adam G
J CARDIOVASC MAGN R. 2013;15(Suppl 1):P201.

Decision Forests with Spatio-temporal Features for Graph-based Tumour Segmentation in 4D Lung CT
Mirzaei H, Tang L, Werner R, Hamarneh G
2013. Machine Learning in Medical Imaging. Wu G, Zhang D, Shen D, Yan P, Suzuki K, Wang F (eds.). 1. ed. Springer, 179-186.

Cardiovascular magnetic resonance demonstrates reversible atrial dysfunction after catheter ablation of persistent atrial fibrillation
Müllerleile K, Groth M, Steven D, Hoffmann B, Säring D, Radunski U, Lund G, Adam G, Rostock T, Willems S
J CARDIOVASC ELECTR. 2013;24(7):762-7.

Influence of stimulus type on effects of flanker, flanker position, and trial sequence in a saccadic eye movement task
Peschke C, Hilgetag C, Olk B
Q J EXP PSYCHOL. 2013;66(11):2253-67.

Should I stay or should I go--cognitive conflict in multi-attribute signals probed with East and West German 'Ampelmännchen' traffic signs
Peschke C, Olk B, Hilgetag C
PLOS ONE. 2013;8(5):e64712.

Virtuelle Patienten: Wie werden sie aus Sicht von Medizinstudierenden am besten eingesetzt?
Riemer M, Abendroth M
GMS Med Inform Biom E. 2013;9(4)(Doc19):.

Combining Automatic Landmark Detection and Variational Methods for Lung CT Registration
Thomas P, Jan R, Jan S, Werner R, Heldmann S, Handels H, Modersitzki J
2013. 5th Workshop on Pulmonary Image Analysis . Rit S, McClelland J, de Bruijne M, Kiraly A, Kuhnigk J, Kabus S, van Rikxoort E, Beichel R (eds.). 85-96.

Biophysical Modeling of Respiratory Organ Motion
Werner R
2013. 4D Modeling and Estimation of Respiratory Motion for Radiation Therapy. Ehrhardt J, Lorenz C (eds.). 1. ed. Springer, 61-84.

Strahlentherapie atmungsbewegter Tumoren: Bewegungsfeldschätzung und Dosisakkumulation anhand von 4D-Bilddaten
Werner R
2013. Aktuelle Forschung Medizintechnik. Buzug T (eds.). 1. ed. Wiesbaden: Springer Vieweg, 1-227.

Assessing accuracy of nonlinear registration in 4D image data using automatically detected landmark correspondences
Werner R, Duscha C, Schmidt-Richberg A, Ehrhardt J, Handels H
2013. SPIE Medical Imaging. Ourselin S, Haynor D (eds.). SPIE , 86690Z-1-9.

Binding and segmentation via a neural mass model trained with Hebbian and anti-Hebbian mechanisms.
Cona F, Zavaglia M, Ursino M
Int J Neural Syst. 2012;22(2):1250003.

The contribution of stimulus-driven and goal-driven mechanisms to feature-based selection in patients with spatial attention deficits.
Dombrowe I, Donk M, Wright H, Olivers C, Humphreys G
COGN NEUROPSYCHOL. 2012;29(3):249-274.

4D blood flow visualization fusing 3D and 4D MRA image sequences.
Forkert N, Fiehler J, Illies T, Möller D, Handels H, Säring D
J MAGN RESON IMAGING. 2012;36(2):443-453.

Analysis of the influence of 4D MR angiography temporal resolution on time-to-peak estimation error for different cerebral vessel structures.
Forkert N, Illies T, Möller D, Handels H, Säring D, Fiehler J
AM J NEURORADIOL. 2012;33(11):2103-2109.

Comparison of TTP and Tmax estimation techniques in perfusion-weighted MR datasets for tissue-at-risk definition
Forkert N, Kaesemann P, Fiehler J, Thomalla G
2012. SPIE Proceedings Vol. 8317 - Medical Imaging 2012: Biomedical Applications in Molecular, Structural, and Functional Imaging. SPIE: 63-69.

Automatic correction of gaps in cerebrovascular segmentations extracted from 3D time-of-flight MRA datasets.
Forkert N, Schmidt-Richberg A, Fiehler J, Illies T, Möller D, Handels H, Säring D
METHOD INFORM MED. 2012;51(5):415-422.

Automatische Atlas-basierte Differenzierung von Klassischen und Atypischen Parkinsonsyndromen
Forkert N, Schmidt-Richberg A, Münchau A, Fiehler J, Handels H, Boelmans K
2012. Bildverarbeitung für die Medizin 2012: Algorithmen - Systeme - Anwendungen (Informatik Aktuell). Springer Berlin Heidelberg: 225-230.

Generation of a probabilistic arterial cerebrovascular atlas derived from 700 time-of-flight MRA datasets.
Forkert N, Suniaga S, Fiehler J, Wersching H, Knecht S, Kemmling A
Stud Health Technol Inform. 2012;180:148-152.

Building blocks of self-sustained activity in a simple deterministic model of excitable neural networks.
Garcia G, Lesne A, Hütt M, Hilgetag C

Improved agreement between experienced and inexperienced observers using a standardized evaluation protocol for cardiac volumetry and infarct size measurement.
Groth M, Müllerleile K, Klink T, Säring D, Halaj S, Folwarski G, Kaul M, Bannas P, Adam G, Lund G
ROFO-FORTSCHR RONTG. 2012;184(12):1131-1137.

Stochastic resonance in discrete excitable dynamics on graphs
Hütt M, Jain M, Hilgetag C, Lesne A
Chaos, Solitions & Fractals. 2012;45(5):611-618.

Persistent hemodynamic changes in ruptured brain arteriovenous malformations.
Illies T, Forkert N, Säring D, Wenzel K, Ries T, Regelsberger J, Wegscheider K, Fiehler J
STROKE. 2012;43(11):2910-2915.

Mapping the connectome: multi-level analysis of brain connectivity.
Leergaard T, Hilgetag C, Sporns O
Front Neuroinform. 2012;6:14.

Evaluation of different magnetic resonance imaging techniques for the assessment of active left atrial emptying.
Müllerleile K, Groth M, Säring D, Steven D, Sultan A, Drewitz I, Hoffmann B, Lüker J, Adam G, Lund G, Willems S, Rostock T
EUR RADIOL. 2012;22(9):1904-1911.

Interdisziplinäre Gesichtsrekonstruktion einer Moorleiche
Püschel K, Säring D, Kaesemann P, Scheuermann S, Kreutz K, Ohlrogge S, Wittwer-Backofen U, Burrath S, Wilkinson C, Bauerochse A, Schultz M, Jopp E
RECHTSMEDIZIN. 2012;21(3):221-224.

Rigid 3D-3D registration of TOF MRA integrating vessel segmentation for quantification of recurrence volumes after coiling cerebral aneurysm.
Säring D, Fiehler J, Ries T, Forkert N
NEURORADIOLOGY. 2012;54(2):171-176.

Elevated T2-values in MRI of stroke patients shortly after symptom onset do not predict irreversible tissue infarction.
Siemonsen S, Löbel U, Sedlacik J, Forkert N, Mouridsen K, Østergaard L, Thomalla G, Fiehler J
BRAIN. 2012;135(Pt 6):1981-1989.

Automatische Detektion von Aneurysmen in 3D Time-of-Flight Magnetresonanzangiographie Datensätzen
Suniaga S, Werner R, Kemmling A, Groth M, Fiehler J, Forkert N
2012. GI-Edition - Lecture Notes in Informatics (LNI), P-208. Bonner Köllen Verlag: 1738-1744.

Computer-Aided Detection of Aneurysms in 3D Time-of-Flight MRA Datasets
Suniaga S, Werner R, Kemmling A, Groth M, Fiehler J, Forkert N
2012. Machine Learning in Medical Imaging - Lecture Notes in Computer Science Volume 7588. Springer Berlin Heidelberg: 63-69.

Towards accurate dose accumulation for Step-&-Shoot IMRT: Impact of weighting schemes and temporal image resolution on the estimation of dosimetric motion effects
Werner R, Ehrhardt J, Schmidt-Richberg A, Albers D, Frenzel T, Petersen C, Cremers F, Handels H
Z MED PHYS. 2012;22(2):109-22.

A dynamical pattern recognition model of gamma activity in auditory cortex.
Zavaglia M, Canolty R, Schofield T, Leff A, Ursino M, Knight R, Penny W
Neural Netw. 2012;28:1-14.

A neural mass model of interconnected regions simulates rhythm propagation observed via TMS-EEG.
Cona F, Zavaglia M, Massimini M, Rosanova M, Ursino M
NEUROIMAGE. 2011;57(3):1045-1058.

The costs of switching attentional sets.
Dombrowe I, Donk M, Olivers C
Atten Percept Psychophys. 2011;73(8):2481-2488.

Reference-based linear curve fitting for bolus arrival time estimation in 4D MRA and MR perfusion-weighted image sequences.
Forkert N, Fiehler J, Ries T, Illies T, Möller D, Handels H, Säring D
MAGN RESON MED. 2011;65(1):289-294.

Direction-dependent Level Set Segmentation of cerebrovascular Structures
Forkert N, Säring D, Illies T, Fiehler J, Ehrhardt J, Handels H, Schmidt-Richberg A
2011. SPIE Medical Imaging 2011: Image Processing. SPIE: 1-8.

Vesselness-geführte Level-Set Segmentierung von zerebralen Gefäßen
Forkert N, Schmidt-Richberg A, Ehrhardt J, Fiehler J, Handels H, Säring D
2011. Bildverarbeitung für die Medizin 2011. Springer Berlin Heidelberg: 8-12.

Fuzzy-based vascular structure enhancement in Time-of-Flight MRA images for improved segmentation.
Forkert N, Schmidt-Richberg A, Fiehler J, Illies T, Möller D, Handels H, Säring D
METHOD INFORM MED. 2011;50(1):74-83.

Image-based Classification of Parkinsonian Syndromes Using T2'-Atlases.
Forkert N, Schmidt-Richberg A, Holst B, Münchau A, Handels H, Boelmans K
Stud Health Technol Inform. 2011;169:465-469.

Characterization of visual percepts evoked by noninvasive stimulation of the human posterior parietal cortex.
Fried P, Elkin-Frankston S, Rushmore R, Hilgetag C, Valero-Cabre A
PLOS ONE. 2011;6(11):27204.

Variability in visual assessment of cerebral aneurysms could be reduced by quantification of recurrence volumes.
Groth M, Fiehler J, Forkert N
AM J NEURORADIOL. 2011;32(8):163-165.

Dynamics of Hierarchical Neural Networks
Hilgetag C, Müller-Linow M, Hütt M
2011. Advances in Cognitive Neurodynamics (II). 215-219.

Book review: The Noisy Brain
Mahajan G, Hilgetag C
J NEUROL SCI. 2011;(300):204.

Quantification of recurrence volumes after endovascular treatment of cerebral aneurysm as surrogate endpoint for treatment stability.
Ries T, Wegscheider K, Wulff A, Radelfahr K, Säring D, Forkert N, Fiehler J
NEURORADIOLOGY. 2011;53(8):593-598.

Three-dimensional surface models of detailed lumbosacral structures reconstructed from the Visible Korean.
Shin D, Chung M, Park J, Park H, Lee S, Lee S, Choi H, Riemer M, Handels H, Lee J, Jung W
ANN ANAT. 2011;193(1):64-70.

DWI-FLAIR mismatch for the identification of patients with acute ischaemic stroke within 4·5 h of symptom onset (PRE-FLAIR): a multicentre observational study.
Thomalla G, Cheng B, Ebinger M, Hao Q, Tourdias T, Wu O, Kim J, Breuer L, Singer O, Warach S, Christensen S, Treszl A, Forkert N, Galinovic I, Rosenkranz M, Engelhorn T, Köhrmann M, Endres M, Kang D, Dousset V, Sorensen A, Liebeskind D, Fiebach J, Fiehler J, Gerloff C, STIR [, Investigators V
LANCET NEUROL. 2011;10(11):978-986.

Sustained activity in hierarchical modular neural networks: self-organized criticality and oscillations.
Wang S, Hilgetag C, Zhou C

Gyrification and neural connectivity in schizophrenia.
White T, Hilgetag C
DEV PSYCHOPATHOL. 2011;23(1):339-352.

Letzte Aktualisierung aus dem FIS: 02.07.2020 - 06:02 Uhr